{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T16:50:35Z","timestamp":1791651035812,"version":"4.3.4"},"reference-count":31,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82260072"],"award-info":[{"award-number":["82260072"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017691","name":"Guangxi Key Research and Development Program","doi-asserted-by":"publisher","award":["Guike AB24010071"],"award-info":[{"award-number":["Guike AB24010071"]}],"id":[{"id":"10.13039\/501100017691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Ageing Research Reviews"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.arr.2026.103306","type":"journal-article","created":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T15:48:42Z","timestamp":1787068122000},"page":"103306","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Precision medicine breakthrough: Multi-omics integration elevates CAD risk prediction"],"prefix":"10.1016","volume":"122","author":[{"given":"Qiang","family":"Su","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiu-Yan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen-Kai","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Rong","family":"Mo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wan-Zhong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Di-Guang","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"12","key":"10.1016\/j.arr.2026.103306_bib1","doi-asserted-by":"crossref","first-page":"1803","DOI":"10.1038\/s41588-022-01233-6","article-title":"Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants","volume":"54","author":"Aragam","year":"2022","journal-title":"Nat. Genet."},{"issue":"7726","key":"10.1016\/j.arr.2026.103306_bib2","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1038\/s41586-018-0579-z","article-title":"The UK Biobank resource with deep phenotyping and genomic data","volume":"562","author":"Bycroft","year":"2018","journal-title":"Nature"},{"key":"10.1016\/j.arr.2026.103306_bib3","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2023-078378","article-title":"TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods","volume":"385","author":"Collins","year":"2024","journal-title":"Bmj"},{"issue":"1","key":"10.1016\/j.arr.2026.103306_bib4","doi-asserted-by":"crossref","first-page":"3328","DOI":"10.1038\/s41467-019-11112-0","article-title":"Analysis of polygenic risk score usage and performance in diverse human populations","volume":"10","author":"Duncan","year":"2019","journal-title":"Nat. Commun."},{"issue":"1","key":"10.1016\/j.arr.2026.103306_bib5","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1186\/s13059-017-1215-1","article-title":"Multi-omics approaches to disease","volume":"18","author":"Hasin","year":"2017","journal-title":"Genome Biol."},{"issue":"5","key":"10.1016\/j.arr.2026.103306_bib6","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1161\/CIRCULATIONAHA.124.070454","article-title":"A Proteomics-Based Approach for Prediction of Different Cardiovascular Diseases and Dementia","volume":"151","author":"Ho","year":"2025","journal-title":"Circulation"},{"issue":"16","key":"10.1016\/j.arr.2026.103306_bib7","doi-asserted-by":"crossref","first-page":"1883","DOI":"10.1016\/j.jacc.2018.07.079","article-title":"Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults: Implications for Primary Prevention","volume":"72","author":"Inouye","year":"2018","journal-title":"J. Am. Coll. Cardiol."},{"issue":"1","key":"10.1016\/j.arr.2026.103306_bib8","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1038\/s41467-023-36231-7","article-title":"Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank","volume":"14","author":"Julkunen","year":"2023","journal-title":"Nat. Commun."},{"issue":"9","key":"10.1016\/j.arr.2026.103306_bib9","doi-asserted-by":"crossref","first-page":"1219","DOI":"10.1038\/s41588-018-0183-z","article-title":"Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations","volume":"50","author":"Khera","year":"2018","journal-title":"Nat. Genet."},{"issue":"1","key":"10.1016\/j.arr.2026.103306_bib10","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/s41572-019-0106-z","article-title":"Atherosclerosis","volume":"5","author":"Libby","year":"2019","journal-title":"Nat. Rev. Dis. Prim."},{"issue":"7265","key":"10.1016\/j.arr.2026.103306_bib11","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1038\/nature08494","article-title":"Finding the missing heritability of complex diseases","volume":"461","author":"Manolio","year":"2009","journal-title":"Nature"},{"issue":"4","key":"10.1016\/j.arr.2026.103306_bib12","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1038\/s41588-019-0379-x","article-title":"Clinical use of current polygenic risk scores may exacerbate health disparities","volume":"51","author":"Martin","year":"2019","journal-title":"Nat. Genet."},{"issue":"7","key":"10.1016\/j.arr.2026.103306_bib13","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1038\/s41588-021-00870-7","article-title":"Computationally efficient whole-genome regression for quantitative and binary traits","volume":"53","author":"Mbatchou","year":"2021","journal-title":"Nat. Genet."},{"issue":"7","key":"10.1016\/j.arr.2026.103306_bib14","doi-asserted-by":"crossref","first-page":"1793","DOI":"10.1038\/s41591-023-02429-x","article-title":"A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease","volume":"29","author":"Patel","year":"2023","journal-title":"Nat. Med."},{"key":"10.1016\/j.arr.2026.103306_bib15","doi-asserted-by":"crossref","first-page":"3735","DOI":"10.1016\/j.csbj.2021.06.030","article-title":"Integration strategies of multi-omics data for machine learning analysis","volume":"19","author":"Picard","year":"2021","journal-title":"Comput. Struct. Biotechnol. J."},{"issue":"22-23","key":"10.1016\/j.arr.2026.103306_bib16","first-page":"5424","article-title":"LDpred2: better, faster, stronger","volume":"36","author":"Priv\u00e9","year":"2021","journal-title":"Bioinforma. (Oxf. Engl. )"},{"issue":"8","key":"10.1016\/j.arr.2026.103306_bib17","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1056\/NEJMoa2004215","article-title":"Evinacumab for Homozygous Familial Hypercholesterolemia","volume":"383","author":"Raal","year":"2020","journal-title":"N. Engl. J. Med."},{"issue":"10289","key":"10.1016\/j.arr.2026.103306_bib18","doi-asserted-by":"crossref","first-page":"2060","DOI":"10.1016\/S0140-6736(21)00520-1","article-title":"IL-6 inhibition with ziltivekimab in patients at high atherosclerotic risk (RESCUE): a double-blind, randomised, placebo-controlled, phase 2 trial","volume":"397","author":"Ridker","year":"2021","journal-title":"Lancet"},{"issue":"4","key":"10.1016\/j.arr.2026.103306_bib19","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.cels.2015.09.007","article-title":"The Biomarker GlycA Is Associated with Chronic Inflammation and Predicts Long-Term Risk of Severe Infection","volume":"1","author":"Ritchie","year":"2015","journal-title":"Cell. Syst."},{"issue":"25","key":"10.1016\/j.arr.2026.103306_bib20","doi-asserted-by":"crossref","first-page":"2982","DOI":"10.1016\/j.jacc.2020.11.010","article-title":"Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study","volume":"76","author":"Roth","year":"2020","journal-title":"J. Am. Coll. Cardiol."},{"issue":"14","key":"10.1016\/j.arr.2026.103306_bib21","doi-asserted-by":"crossref","first-page":"1681","DOI":"10.1093\/eurjpc\/zwae124","article-title":"Large-scale plasma proteomics in the UK Biobank modestly improves prediction of major cardiovascular events in a population without previous cardiovascular disease","volume":"31","author":"Royer","year":"2024","journal-title":"Eur. J. Prev. Cardiol."},{"issue":"12","key":"10.1016\/j.arr.2026.103306_bib22","doi-asserted-by":"crossref","first-page":"1516","DOI":"10.1038\/s44161-024-00567-0","article-title":"Integrative proteomic analyses across common cardiac diseases yield mechanistic insights and enhanced prediction","volume":"3","author":"Schuermans","year":"2024","journal-title":"Nat. Cardiovasc. Res."},{"issue":"3","key":"10.1016\/j.arr.2026.103306_bib23","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1001779","article-title":"UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age","volume":"12","author":"Sudlow","year":"2015","journal-title":"PLoS. Med."},{"issue":"7982","key":"10.1016\/j.arr.2026.103306_bib24","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1038\/s41586-023-06592-6","article-title":"Plasma proteomic associations with genetics and health in the UK Biobank","volume":"622","author":"Sun","year":"2023","journal-title":"Nature"},{"issue":"8","key":"10.1016\/j.arr.2026.103306_bib25","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1038\/s41591-022-01891-3","article-title":"Large-scale genome-wide association study of coronary artery disease in genetically diverse populations","volume":"28","author":"Tcheandjieu","year":"2022","journal-title":"Nat. Med."},{"issue":"9","key":"10.1016\/j.arr.2026.103306_bib26","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1038\/s41576-018-0018-x","article-title":"The personal and clinical utility of polygenic risk scores","volume":"19","author":"Torkamani","year":"2018","journal-title":"Nat. Rev. Genet."},{"issue":"8","key":"10.1016\/j.arr.2026.103306_bib27","doi-asserted-by":"crossref","first-page":"e93","DOI":"10.1161\/CIR.0000000000001123","article-title":"Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association","volume":"147","author":"Tsao","year":"2023","journal-title":"Circulation"},{"issue":"3","key":"10.1016\/j.arr.2026.103306_bib28","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1038\/nmeth.2810","article-title":"Similarity network fusion for aggregating data types on a genomic scale","volume":"11","author":"Wang","year":"2014","journal-title":"Nat. Methods"},{"issue":"4","key":"10.1016\/j.arr.2026.103306_bib29","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1038\/ng.2213","article-title":"Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits","volume":"44","author":"Yang","year":"2012","journal-title":"Nat. Genet."},{"issue":"3","key":"10.1016\/j.arr.2026.103306_bib30","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1046\/j.1365-2796.2002.01029.x","article-title":"Heritability of death from coronary heart disease: a 36-year follow-up of 20 966 Swedish twins","volume":"252","author":"Zdravkovic","year":"2002","journal-title":"J. Intern. Med."},{"issue":"2","key":"10.1016\/j.arr.2026.103306_bib31","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Stat. Soc. Ser. B (Stat. Methodol."}],"container-title":["Ageing Research Reviews"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568163726002989?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568163726002989?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T16:11:29Z","timestamp":1791648689000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568163726002989"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":31,"alternative-id":["S1568163726002989"],"URL":"https:\/\/doi.org\/10.1016\/j.arr.2026.103306","relation":{},"ISSN":["1568-1637"],"issn-type":[{"value":"1568-1637","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Precision medicine breakthrough: Multi-omics integration elevates CAD risk prediction","name":"articletitle","label":"Article Title"},{"value":"Ageing Research Reviews","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.arr.2026.103306","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"103306"}}